nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

Software cost estimation accuracy is one of the biggest challenges in the field of software development for developer and customers. In general, many algorithmic models like Constructive Cost Model (COCOMO) are used to estimate cost but they have inability to deal with uncertainties related to software development environment and other factors influencing the software development process. The E...

Özet. Yazılım efor tahmini, yazılım proje yönetiminde çok önemli bir aşamadır. Tahmin değerinin doğruluğu proje başarı ya da başarısızlığına doğrudan etki eder. Yöneticiler uygun kaynakları tahmin etmeye çalışırlar ve bu yönetim için zorlayıcı bir durumdur. Araç ve tekniklerin yardımıyla tahmin süreci daha iyi gerçekleştirilebilir. COCOMO en çok kullanılan, parametrik modellerden biri olarak if...

-Estimating the cost and effort of software product is one of the biggest challenges. With the growth of technology and changing frequent user requirements it becomes very difficult to make accurate software cost estimation. But the accurate results are required for proper project planning because any error results in huge losses. The objective of software cost estimation method is to estimate ...

Nowadays, software companies have to mange different software development processes based on different time, cost, and number of staff sequentially, which is a very complex task and supports project planning and tracking. Software time, cost and manpower estimation for separate projects is one of the critical and crucial tasks for project managers. Accurate software estimation at an early stage...

As software cost drivers are fuzzy and uncertain, software cost estimates are prone to a certain degree of estimation errors especially in their early stages of software development life cycle. However, most of the existing software cost estimation models in present literature only generate a single point estimate and do not explicitly reveal the degree of risks caused by their inaccuracies. Th...

Software development has always been characterized by some metrics. One of the greatest challenges for software developers lies in predicting the development effort for a software system which is based on developer abilities, size, complexity and other metrics. Several algorithmic cost estimation models such as Boehm’s COCOMO, Albrecht's' Function Point Analysis, Putnam’s SLIM, ESTIMACS etc. ar...

This paper summarizes the results of an empirical study conducted to explore the relative importance of eight pertinent COCOMO II model drivers in predicting the understandability of a software project. Here understandability of the project is measured solely from the perspective of the development team. This empirical study employed a survey that was targeted towards experienced practitioners....

This paper presents the effect of ‘schedule compression’ on software project management effort using COCOMO II (Constructive Cost Model II), considering projects which require more than 25 percent of compression in their schedule. At present, COCOMO II provides a cost driver for applying the effect of schedule compression or expansion on project effort. Its maximum allowed compression is 25 per...